Machine Learning Scholarships: Check AWS Machine Learning Scholarship 2023 documents, details and Apply online

The AWS Machine Learning Scholarship, developed in collaboration with Udacity and Intel, offers a remarkable chance for underserved students to access valuable scholarships for machine learning programs. This article serves as a comprehensive guide to the AWS Machine Learning Scholarship for 2023, covering its purpose, eligibility criteria, benefits, features, important documents, and the online application process.

AWS Machine Learning Scholarship 2023

The AWS Machine Learning Scholarship opens doors for students eager to embark on their journey in Machine Learning and Artificial Intelligence (AI). Through this scholarship, students can receive financial support to cover course fees, enabling them to delve into the exciting fields of AI and ML.

This opportunity is particularly targeted at students belonging to underrepresented and underserved communities. The scholarship not only covers course expenses but also offers enticing cash prizes. Approximately 2000 students will have the chance to receive this valuable scholarship.

Sponsored By Amazon Web Services
Delegated Ministry Ministry of Electronics & Information Technology
Allocated Portal Udacity Portal
Objective To provide career paths to the students in the machine learning aspects
Benefit Students will be able to start their careers in the fastest-growing field
Beneficiaries Students
Age Limit Students of 18 Years
Beneficiary Category Students of underrepresented and underserved groups
Mode Of Transfer DBT (Direct Benefit Transfer)
Payment Mechanism e-payment mechanism
Form of Benefit Scholarship amount
Scholarship Transferral Monthly Basis
Amount of benefit $4,000
Offered Course Machine Learning Foundation Course  (AWS DeepRacer)
Duration of Course 4 Months
Schedule 3 to 5 hours per week
Beneficiary Limit 2000
Hosting Site National Information Center (NIC)
Mode Of Application Online

Objectives of AWS Machine Learning Scholarship

The AWS Machine Learning Scholarship is launched with two main objectives:

  1. Providing an accessible platform for students with limited representation to gain comprehensive knowledge and expertise in machine learning, empowering them to pursue a career in this field.
  2. Offering scholarships to enthusiastic students passionate about machine learning and artificial intelligence, enabling them to overcome financial constraints and acquire a solid understanding of machine learning fundamentals.

Beneficiary Category

To qualify for this scholarship, students must belong to the underserved or underrepresented category and be enrolled in the Python Nanodegree program. Eligibility for this beneficiary category is a prerequisite, and students who don’t meet this criterion won’t be considered for enrollment.

Age Limit

In addition to the beneficiary category, students must also be at least 18 years old to be eligible for the AWS Machine Learning Scholarship. Students exceeding this age limit won’t be considered for scholarship enrollment.

Scholarship Award

The scholarship covers a four-month machine learning course, with recipients of the Python Nanodegree program receiving $4,000 in the summer and winter cohorts. The top 500 students will also have the opportunity to receive mentorship for a duration of 12 months.

Other Featured Programs

Apart from the primary scholarship program, AWS Machine Learning Scholarship offers various other featured programs, including Business Analytics, SQL, Data Engineering, Data Analysis, Introduction to Programming, Digital Marketing, and Self-Driving Car Engineering.

AWS Machine Learning Scholarship Udacity

Udacity is a global learning community dedicated to transforming education. Founded with the mission to democratize education, Udacity prepares the next generation for technical job opportunities.

Covered Udacity Schools

The AWS Machine Learning Scholarship covers various Udacity schools, including the School of Artificial Intelligence, School of Autonomous Systems, School of Business, School of Cloud Computing, School of Cybersecurity, School of Data Science, School of Programming, and School of Product Management.

Covered Facilities

Key facilities provided by this scholarship include part-time online learning, flexible schedules requiring only a few hours a week, scholarship availability worldwide, free training, mentorship opportunities, and career guidance.

Mentorship & Career Guidance

Top 500 students will receive mentorship and career guidance as part of the AWS Machine Learning Scholarship. This support aims to help students seek answers to questions and address doubts, fostering their learning journey.

AWS Machine Learning Scholarship Beneficiary Limitation

AWS has set a target of assisting around 2000 students with this scholarship program, offering a limited number of scholarships.

AWS Machine Learning Scholarship Course Duration

The AWS Machine Learning Scholarship course spans 3 to 4 months, with students dedicating 6 to 7 hours per week to their studies.

Facilitation of Assessment Tool: Students will have access to assessment tools provided by Amazon services. The top-performing students will be selected for these assessments, encouraging continuous improvement and progress in the course.

Benefits of AWS Machine Learning Scholarship Scheme

The benefits of this scholarship program include:

  • Enabling thousands of students to begin their careers in the Machine Learning field.
  • Prioritizing underrepresented and underserved groups for scholarship opportunities.
  • Providing free mentorship to eligible students.
  • Offering career advice for 12 months.
  • Multiple schools offering foundational knowledge in machine learning.
  • Scholarships for approximately 2000 students.
  • Selection based on assessment test scores.
  • Free training for students.
  • Mentorship and career guidance for 500 top-performing students.
  • Enhanced understanding of machine learning concepts.

AWS Machine Learning Scholarship details

Key features of the AWS Machine Learning Scholarship include:

  • Collaboration between Udacity, Intel, and AWS.
  • Focus on underrepresented and underserved student groups.
  • Scholarships for students eager to enter the fields of Machine Learning and Artificial Intelligence.
  • A scholarship amount of $4,000 for Python Nanodegree program participants.
  • Course duration of four months.
  • Mentorship for the top 500 students.
  • Access to a cloud-based 3D car racing simulator for ML and Reinforcement Learning.
  • Targeting approximately 2000 students for scholarship awards.
  • Visit the official website for additional information.

AWS Machine Learning Scholarship Eligibility Criteria

To apply for the AWS Machine Learning Scholarship, applicants must meet the following eligibility criteria:

  • Belong to an underrepresented or underserved group.
  • Be at least 18 years old.
  • Not reside in the US.
  • Not be a Udacity employee.
  • Commit 6 to 7 hours of study per week.

Machine Learning Scholarship Documents

Required documents for online scholarship applications include transcripts, recommendation letters, a CV or resume, a proof of date of birth certificate, a scanned copy of the passport, and any other necessary documents.

Process to Apply Online for AWS Machine Learning Scholarship: To apply for the AWS Machine Learning Scholarship, follow these steps:

  1. Visit the official website.
  2. Scroll down to the “Resources” section on the homepage.
  3. Click on “Scholarships.”
  4. Look for the “AWS AI & ML Scholarship Program.”
  5. Click on “Get Started.”
  6. Follow the application process by clicking “Submit Your Application” and signing in using your login credentials.

In conclusion, the AWS Machine Learning Scholarship is an incredible opportunity for underrepresented students to explore the world of Machine Learning and Artificial Intelligence. It provides financial support, mentorship, and career guidance, making it a transformative initiative for aspiring professionals.

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